For the first time, researchers have used lab-grown organoids created from tumors of individuals with glioblastoma (GBM) to accurately model a patient's response to CAR T cell therapy in real time.

Leveraging the power of AI and machine learning technologies, researchers at Weill Cornell Medicine developed a more effective model for predicting how patients with muscle-invasive bladder cancer ...

Brain Tumor Organoids Accurately Model Patient Response to CAR T Cell Therapy Dec. 9, 2024 — Researchers used lab-grown organoids created from tumors of individuals with glioblastoma (GBM ...

Researchers have made significant advancements in understanding the earliest stages of stomach cancer, a leading cause of cancer-related deaths worldwide, through two recent innovative studies. With a ...

A major new study has revealed that the genes we inherit at birth play a much larger role in cancer than previously ...

This paper explores the potential of mitochondrial-associated programmed-cell-death (mtPCD) patterns as biomarkers for predicting the prognosis of non-small-cell lung cancer (NSCLC). NSCLC is the most ...

A new research paper was published in Oncotarget, Volume 16, on March 27, 2025, titled "Imipridones ONC201/ONC206 + RT/TMZ ...

New findings may help patients with low to moderate risk of tumor lysis syndrome while reducing the burden for hematologists.

Researchers from the Department of Pathology, School of Clinical Medicine at the LKS Faculty of Medicine of the University of ...